Deepgram Java Text Intelligence

Using Deepgram Text Intelligence (Java SDK)

Analyze text you already have — transcripts, chats, documents, or other plain text — via /v1/read.

When to use this product

• You already have text, not audio.
• You want one-shot REST analysis for sentiment, topics, intents, or summary-like outputs.

Use a different skill when:

• The source is audio and you want analysis during transcription → deepgram-java-audio-intelligence.

Authentication

import com.deepgram.DeepgramClient;

DeepgramClient client = DeepgramClient.builder()
        .apiKey(System.getenv("DEEPGRAM_API_KEY"))
        .build();

Quick start

import com.deepgram.resources.read.v1.text.requests.TextAnalyzeRequest;
import com.deepgram.types.ReadV1Request;
import com.deepgram.types.ReadV1RequestText;
import com.deepgram.types.ReadV1Response;

ReadV1RequestText textBody = ReadV1RequestText.builder()
        .text("Life moves pretty fast. If you don't stop and look around once in a while, you could miss it.")
        .build();

TextAnalyzeRequest request = TextAnalyzeRequest.builder()
        .body(ReadV1Request.of(textBody))
        .sentiment(true)
        .topics(true)
        .intents(true)
        .language("en")
        .build();

ReadV1Response response = client.read().v1().text().analyze(request);
response.getResults().getTopics().ifPresent(System.out::println);
response.getResults().getIntents().ifPresent(System.out::println);
response.getResults().getSentiments().ifPresent(System.out::println);

Quick start — custom topics and intents

import com.deepgram.resources.read.v1.text.types.TextAnalyzeRequestCustomIntentMode;
import com.deepgram.resources.read.v1.text.types.TextAnalyzeRequestCustomTopicMode;
import java.util.Arrays;

TextAnalyzeRequest request = TextAnalyzeRequest.builder()
        .body(ReadV1Request.of(textBody))
        .language("en")
        .sentiment(true)
        .topics(true)
        .intents(true)
        .customTopic(Arrays.asList("Customer Retention", "Product Quality"))
        .customTopicMode(TextAnalyzeRequestCustomTopicMode.EXTENDED)
        .customIntent(Arrays.asList("Request Refund", "Complaint"))
        .customIntentMode(TextAnalyzeRequestCustomIntentMode.EXTENDED)
        .build();

Async equivalent

import com.deepgram.AsyncDeepgramClient;
import java.util.concurrent.CompletableFuture;

AsyncDeepgramClient asyncClient = AsyncDeepgramClient.builder()
        .apiKey(System.getenv("DEEPGRAM_API_KEY"))
        .build();

CompletableFuture<com.deepgram.types.ReadV1Response> future =
        asyncClient.read().v1().text().analyze(request);

Key parameters / API surface

• TextAnalyzeRequest.builder().body(ReadV1Request.of(...)) is the high-level request path
• Body types are ReadV1RequestText or URL-based ReadV1Request variants
• Verified request fields: language, sentiment, summarize, topics, intents, customTopic, customTopicMode, customIntent, customIntentMode, callback, callbackMethod, tag
• Methods: text().analyze(ReadV1Request), text().analyze(TextAnalyzeRequest), plus async and withRawResponse() variants
• Results live under ReadV1Response.getResults()

API reference (layered)

1. In-repo source of truth: src/main/java/com/deepgram/resources/read/v1/text/ and examples/read/. No reference.md file is present here.
2. Canonical OpenAPI: https://developers.deepgram.com/openapi.yaml
3. Context7: /llmstxt/developers_deepgram_llms_txt
4. Product docs:
   • https://developers.deepgram.com/reference/text-intelligence/analyze-text
   • https://developers.deepgram.com/docs/text-intelligence
   • https://developers.deepgram.com/docs/text-sentiment-analysis

Gotchas

1. Use body(ReadV1Request.of(...)), not raw maps. This SDK is strongly typed.
2. TextAnalyzeRequest wraps both query-style options and the request body. ReadV1Request alone only supplies the input content.
3. Custom topics/intents need matching modes (STRICT or EXTENDED) if you want deterministic behavior.
4. The request surface exposes summarize separately from Listen V1. Do not assume Listen's versioned summarize enum applies here.
5. Language is explicit in examples. Follow that pattern when using topics, intents, or sentiment.
6. This repo has no dedicated async example for Read. Use AsyncDeepgramClient and CompletableFuture directly.

Example files in this repo

• examples/read/AnalyzeText.java
• examples/read/AdvancedAnalysis.java

Central product skills

For cross-language Deepgram product knowledge — the consolidated API reference, documentation finder, focused runnable recipes, third-party integration examples, and MCP setup — install the central skills:

npx skills add deepgram/skills

This SDK ships language-idiomatic code skills; deepgram/skills ships cross-language product knowledge (see api, docs, recipes, examples, starters, setup-mcp).